Historian and political commentator Heather Cox Richardson joins UC Berkeley professor of law and history Dylan Penningroth in a timely conversation about the reshaping of the United States’ two major political parties. A professor of 19th century American history at Boston College, Richardson provides an incisive perspective on current politics to the more than three million readers of her nightly newsletter, Letters from an American. She has written for the Washington Post, the New York Times, and the Guardian, and is the author, most recently, of the best-selling book "Democracy Awakening: Notes on the State of America." Penningroth is the author of the award-winning "Before the Movement: The Hidden History of Black Civil Rights." Series: "UC Berkeley Graduate Lectures" [Public Affairs] [Show ID: 40424]

Does giving cash up front improve the health and wellbeing of people in poor communities? In this program, Edward (Ted) Miguel, professor of economics and co-director of the Center for Effective Global Action at UC Berkeley, talks about his work in Kenya on the impact of cash transfers on infant mortality, leveraging a unique large-scale census of local households’ birth histories. The findings provide novel evidence on the broader impacts of cash transfers on wellbeing of a poor rural population, and illustrate the value of the experimental approach in development economics for public policy. Series: "UC Berkeley Graduate Lectures" [Public Affairs] [Show ID: 40309]

As voters prepare to head to the polls on Election Day, join the Goldman School of Public Policy and Cal Performances for a critical look at the moment we’re in, the issues that have shaped and led us to this year’s tumultuous election, and the future of American democracy. UC Berkeley experts from former presidential administrations—Janet Napolitano, former Secretary of Homeland Security under the Obama administration (2009-2013); Robert Reich, former Secretary of Labor under the Clinton administration (1993-1997); and Maria Echaveste, former Assistant to the President and Deputy White House Chief of Staff under the Clinton Administration (1998-2001)—as well as PolicyLink founder-in-residence and Chief Vision Officer for the Goldman School of Public Policy’s new Democracy Policy Initiative, Angela Glover Blackwell. Series: "The Goldman School - Berkeley Public Policy" [Public Affairs] [Show ID: 40302]

Across the United States, homelessness has been on the rise. In California, there have been over 181,000 people without a stable place to call home—about 30 percent of the nation’s homeless population. During the COVID-19 pandemic, those numbers continued to rise as earnings dropped and the housing affordability crisis worsened. What interventions have prevented people from becoming homeless? What lessons have we learned from local, regional, and statewide efforts to reduce unsheltered homelessness in the Bay Area and beyond? The Terner Center for Housing Innovation, the Goldman School of Public Policy, and a diverse panel of cross-sector experts and advocates collaborated for a discussion on reducing poverty and addressing homelessness in California. Series: "The Goldman School - Berkeley Public Policy" [Public Affairs] [Show ID: 39849]

In this program, Robin D. G. Kelley, Distinguished Professor and Gary B. Nash Endowed Chair in U.S. History at UCLA, examines how police in the neoliberal era–in tandem with other state and corporate entities—have become engines of capital accumulation, government revenue, gentrification, the municipal bond market, the tech and private security industry—in a phrase, the profits of death. Kelley argues the police don’t just take lives; they make life and living less viable for the communities they occupy. The growth of police power has also fundamentally weakened democracy and strengthened “thanatocracy”—rule by death– especially with respect to Black communities. Kelley says these same communities have produced a new abolition democracy, organizing to advance a different future, without oppression and exploitation, war, poverty, prisons, police, borders, the constraints of imposed gender, sexual, and ableist norms, and an economic system that destroys the planet while generating obscene inequality. Series: "UC Berkeley Graduate Lectures" [Public Affairs] [Humanities] [Show ID: 39780]

The 2021-2022 term of the U.S. Supreme Court is widely considered to be the most consequential in living memory. Bruen, West Virginia v. EPA, Dobbs—the Court’s rulings in these controversial cases weakened gun restrictions, hobbled the Environmental Protection Agency’s ability to fight climate change, and overturned the constitutional protection for abortion rights nearly 50 years after Roe v. Wade. In The Supermajority: How the Supreme Court Divided America, Brennan Center for Justice president Michael Waldman examines the term’s major cases, the meaning of “originalism”—a new, extreme method of interpreting the Constitution—and offers proposals for reform. Join Waldman and Maria Echaveste, President and CEO of the Opportunity Institute and former senior White House official, for an in-depth look at the tumultuous 2021-2022 term and a discussion of how these decisions will affect every American for generations to come. Series: "The Goldman School - Berkeley Public Policy" [Public Affairs] [Show ID: 39848]

America’s contemporary democratic predicament is rooted in its historically incomplete democratization. Born in a pre-democratic era, the constitution’s balancing of majority rule and minority rights created still-unresolved dilemmas. Placing the U.S. in comparative perspective, Daniel Ziblatt, professor of government at Harvard University, offers new perspectives on what should be “beyond the reach of majorities” – and what should not – making the case for a fuller democracy as antidote to the perils of our age. Ziblatt is also director of the Transformations of Democracy group at Berlin’s WZB Social Science Center. He is the author of four books, including "How Democracies Die," co-authored with Steve Levitsky, a New York Times best-seller. His newest book co-authored with Steven Levitsky is entitled "Tyranny of the Minority." Series: "UC Berkeley Graduate Lectures" [Public Affairs] [Show ID: 39237]

What does it mean when we use the first-person pronoun ‘I’? And how does it relate to self-consciousness? In this program, Béatrice Longuenesse, professor of philosophy emerita at New York University, compares the analysis of philosophers Elizabeth Anscombe and Jean-Paul Sartre on consciousness, self-consciousness and the use of 'I'. Languenesse's current work spans the history of philosophy, especially Kant and nineteenth century German philosophy; the philosophy of language and mind; and philosophical issues related to Freudian psychanalysis. Series: "UC Berkeley Graduate Lectures" [Humanities] [Show ID: 39240]

Young children’s learning may be an important model for artificial intelligence (AI). In this program, Alison Gopnik, professor of psychology and member of the Berkeley Artificial Intelligence Research (BAIR) Lab at UC Berkeley, says that comparing children and artificial agents in the same tasks and environments can help us understand the abilities of existing systems and create new ones. In particular, many current large data-supervised systems, such as large language models (LLMs), provide new ways to access information collected by past agents. However, they lack the kinds of exploration and innovation that are characteristic of children. New techniques may help to instantiate childlike curiosity, exploration and play in AI systems. This program is co-hosted with the UC Berkeley College of Computing, Data Science, and Society and the UC Berkeley Artificial Intelligence Research (BAIR) Lab. About the Series: CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic, industry and civic leaders. Free and open to the public, these seminars feature leading voices on societal-scale research issues. Series: "Data Science Channel" [Science] [Show ID: 39351]

Researchers used to define objectives for artificial intelligence (AI) agents by hand, but with progress in optimization and reinforcement learning, it became obvious that it's too difficult to think of everything ahead of time and write it down. Instead, these days the objective is viewed as a hidden part of the state on which researchers can receive feedback or observations from humans — how they act and react, how they compare options, what they say. In this talk, Anca Dragan, Associate Professor of Electrical Engineering and Computer Sciences at UC Berkeley, discusses what this transition has achieved, what open challenges researchers still face and ideas for mitigating them. Dragan discusses applications in robotics and how the lessons there apply to virtual agents like large language models. Series: "Data Science Channel" [Science] [Show ID: 39350]

In this program, Jaron Lanier, Microsoft's prime unifying scientist, discusses a piece he published in The New Yorker (“There Is No AI”) about applying data dignity ideas to artificial intelligence. Lanier argues that large-model AI can be reconceived as a social collaboration by the people who provide data to the model in the form of text, images and other modalities. This is a figure/ground inversion of the usual conception of AI as being a participant or collaborator in its own right. Explanations of model results and behaviors would then center around the relative influence of specific inputs through a provenance calculation mechanism. This formulation suggests new and different strategies for long-term economics in the context of high-performance AI, as well as more concrete approaches to many safety, fairness and alignment questions. This program is co-hosted with the UC Berkeley College of Computing, Data Science, and Society and the UC Berkeley Artificial Intelligence Research (BAIR) Lab. The CITRIS Research Exchange delivers fresh perspectives on information technology and society from distinguished academic, industry and civic leaders. Series: "Data Science Channel" [Science] [Show ID: 39326]

This episode of TecHype features Yoel Roth, former Head of Trust and Safety at Twitter. Yoel provides first-hand insights into how one of the largest online platforms in the world built out its trust and safety operations to better ensure its service was helpful, harmless, and aligned with user expectations While at Twitter, Dr. Roth found himself the target of a coordinated harassment campaign on the platform, one instigated by the current CEO Elon Musk. His years of work building out the trust and safety operations had become personal. In this episode, Dr. Roth provides professional and personal perspectives on the real benefits and risks of platform trust and safety efforts, the current state-of-the-art of the field, and where it’s going. Series: "Public Policy and Society" [Public Affairs] [Science] [Show ID: 39285]

Joan Donovan, a leading disinformation researcher specializing in media manipulation, explains how social media platforms have become the new battleground for public persuasion. Co-author of “Meme Wars: The Untold Story of the Online Battles Upending Democracy in America,” Donovan uncovers the ways memes and social media enable fringe groups to lure in new recruits and spread their ideologies. In this episode, Donovan provides expert guidance on technical and policy strategies necessary to mitigate the weaponization of social media. Series: "Public Policy and Society" [Public Affairs] [Science] [Show ID: 39286]

TecHype is a groundbreaking series that cuts through the hype around emerging technologies. Each episode debunks misunderstandings around emerging tech, provides insight into benefits and risks, and identifies technical and policy strategies to harness the benefits while mitigating the risks. This episode of TecHype features Prof. Stuart Russell from UC Berkeley, a world-renowned expert in artificial intelligence and co-author (with Peter Norvig) of the standard text in the field. We debunk misunderstandings around what “AI” actually is and break down the benefits and risks of this transformative technology. Prof. Russell provides an expert perspective on the real impacts AI will have in our world, including its potential to provide greater efficiency and effectiveness in a variety of domains and the serious safety, security, and discrimination risks it poses. Series: "Public Policy and Society" [Public Affairs] [Science] [Show ID: 39284]

TecHype is a groundbreaking series that cuts through the hype around emerging technologies to get to what matters. Each episode debunks misunderstandings around emerging tech, provides insight into benefits and risks, and identifies technical and policy strategies to harness the benefits while mitigating the risks of emerging technologies. This episode of TecHype features Prof. Hany Farid from UC Berkeley, a world-renowned expert in the analysis of digitally manipulated images. We take a deep dive into determining what a 'deepfake’ is and explore how these AI-generated images, videos, and audio can be used for both amusing and alarming purposes. Farid highlights the increasing prevalence of deepfakes and their impact on society. From revolutionizing the entertainment industry, bolstering creativity, and championing advocacy campaigns to their use in impersonating public figures in ways that manipulate elections or personal contacts to commit fraud. The episode concludes with a discussion of targeted strategies that can be pursued to keep you safe from harmful deepfakes, such as digital watermarking and detection tools. Series: "Public Policy and Society" [Public Affairs] [Science] [Show ID: 39244]

Researchers deployed a fleet of 100 semi-autonomous vehicles to test whether a new AI-powered cruise control system can help smooth the flow of traffic and improve fuel economy. In a massive traffic experiment, scientists tested whether introducing just a few AI-equipped vehicles to the road can help ease “phantom” jams caused by human behavior and reduce fuel consumption for everyone. (Video: Roxanne Makasdjian, Alan Toth, and CIRCLES Consortium Music: Dyalla - Organic Guitar House) Series: "UC Berkeley News" [Public Affairs] [Science] [Show ID: 39225]

Using real-life examples and historical evidence, French anthropologist Philippe Descola aims to understand the unique characteristics of communities that exist outside of modern societies. These communities have often been misunderstood because they were mistakenly compared to nation-states. However, Descola argues that we should examine the components and relationships within these communities based on how they perceive the world. By doing so, we can challenge the Eurocentric and human-centric view of social structures, which rely on Western ideas of progress and functionality. Series: "Tanner Lectures on Human Values" [Humanities] [Show ID: 38617]

In this program, scholars Philippe Descola, Adom Getachew, Timothy LeCain and David Wengrow discuss how views of humans verses non-humans shaped the modern world. Series: "Tanner Lectures on Human Values" [Humanities] [Show ID: 38618]

This series on artificial intelligence explores recent breakthroughs of AI, its broader societal implications and its future potential. In this presentation, Sergey Levine, associate professor of Electrical Engineering and Computer Science at UC Berkeley, discusses AI reinforcement learning methods. Levine asks what it would take to create machine learning systems that can make decisions when faced with the full complexity and diversity of the real world, while still retaining the ability of reinforcement learning to come up with new solutions? He discusses how advances in offline reinforcement learning can enable machine learning systems to learn to make more optimal decisions from data, combining the best of data-driven machine learning with the capacity for emergent behavior and optimization provided by reinforcement learning. Levine received a BS and MS in Computer Science from Stanford University in 2009, and a Ph.D. in Computer Science from Stanford University in 2014. He joined the faculty of the Department of Electrical Engineering and Computer Sciences at UC Berkeley in fall 2016. His work focuses on machine learning for decision making and control, with an emphasis on deep learning and reinforcement learning algorithms. Applications of his work include autonomous robots and vehicles, as well as applications in other decision-making domains. His research includes developing algorithms for end-to-end training of deep neural network policies that combine perception and control, scalable algorithms for inverse reinforcement learning, deep reinforcement learning algorithms, and more. Series: "Data Science Channel" [Science] [Show ID: 38857]

This series on artificial intelligence explores recent breakthroughs of AI, its broader societal implications and its future potential. In this presentation, Stuart Russell, professor of computer science at the UC, Berkeley, discusses what AI is and how it could be beneficial to civilization. Russell is a leading researcher in artificial intelligence and the author, with Peter Norvig, of “Artificial Intelligence: A Modern Approach,” the standard text in the field. His latest book, “Human Compatible,” addresses the long-term impact of AI on humanity. He is also an honorary fellow of Wadham College at the University of Oxford. Series: "Data Science Channel" [Science] [Show ID: 38856]